Article or book title, author's surname, DOI

Decisions support of health workers load distribution tasks, based on artificial intelligence techniques

С.Ю. Жулёва1, А.В. Крошилин2, С.В Крошилина3

research article UDC 684.511 Pages: 54-59 doi.org/10/18127/j5604136-201808-09

Abstract

The peculiarities of the organization of the doctor's working time are considered in the article. A system for supporting the adoption of medical decisions has been developed, which reflects the relationship of two directions: organizational, managerial and therapeutic-diagnostic. The scheme reflecting the document circulation of the medical worker is given. A comparative analysis of existing information and medical systems is presented, which reveals a number of shortcomings and determines the need to create a universal system for the distribution of physician load.

Features of the formation of medical burden are: in fuzzy assessment of the workload of the doctor; taking into account the choice of the patient, if there is an alternative to specialist doctors; control instant loading of medical personnel; optimization of the work of reception room specialists, to increase the capacity.

Thus, an automated system for distributing the workload of medical personnel as a decision support system has been developed, which makes it possible to assess these features in conditions of incomplete and unclear initial information. A model of a medical system based on semantic networks is presented, which most fully reflects the cause-effect relationships.

How to cite

Жулёва С.Ю., Крошилин А.В., В Крошилина С. Поддержка принятия решений в задачах распределения нагрузки медицинских работников на основе методов искусственного интеллекта // Биомедицинская радиоэлектроника. 2018. № 8. С. 54–59. DOI: https://doi.org/10/18127/j5604136-201808-09

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